ASI_thinking's repositories
662-Final-Project-UR-5-arm
UR5 arm is simulated in Rviz using Moveit. Forward kinematics are verified in MATLAB.
Aruco_Tracker
Aruco Markers for pose estimation
CNN_kinect
大创：利用CNN和Kinect进行动作识别
dm-ticket
大麦网自动购票, 支持docker一键部署。https://t.me/+2EELgNTYiMYxMTFl
easy_handeye
Automated, hardware-independent Hand-Eye Calibration
hello-world
the first step
Handeye-calibration
Handeye calibration using ICP method in UR robot
Intent_Traj_Prediction
Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration
librealsense
Intel® RealSense™ SDK
moveit_tutorials
A sphinx-based centralized documentation repo for MoveIt
Object-Grasp-Detection-ROS
Real-time Object Grasp Detection ROS package for YOLOv3
Obstacle_Avoidance
static obstacle avoid and human avoid
Panda-Grasp-Known-Object
This repo uses the panda arm to grasp a known object (labeled with Aruco marker).
path-plannning
real-time path planning system
potential_fields_with_aruco
Implementation of Adaptive Artificial Potential Fields using ArUco marker.
realtime_urdf_filter
ROS package that can filter geometry defined in URDF models from Kinect depth images. Can also preprocess data for the OpenNI tracker, to remove backgrounds, robots etc.
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
robot-arm-rrt-obstacle-avoidance
RRT based path planning in the presence of obstacles.
ros_21_tutorials
《古月 · ROS入门21讲》课件&源码
turtlebot_arm
The turtlebot_arm package provides bringup, description, and utilities for using the TurtleBot arm.
universal_robot
ROS-Industrial Universal Robots support (http://wiki.ros.org/universal_robot)
UR5-control-with-RG2
using TCP/IP network comunication to control UR5 robot with a RG2 gripper
UR5-grasp-and-kinect-demo-on-gazebo
This system is a simulation UR5 robot arm part grasping system based on ROS and gazebo, which can control the movement of the robot arm grasping block, inheriting the grasping plugin in gazebo. In addition, the system is also equipped with a kinect camera, which can identify obstacles and add them to planning scenarios to achieve obstacle avoidance planning
vision-arm
vision based dynamic obstacle avoidance for robotic manipulator
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.